SciTransfer
Organization

TECHNISCHE UNIVERSITAET ILMENAU

German technical university specializing in electric vehicle engineering, automated driving, control systems, and biomedical signal processing across 22 H2020 projects.

University research grouptransportDE
H2020 projects
22
As coordinator
10
Total EC funding
€6.8M
Unique partners
195
What they do

Their core work

TU Ilmenau is a German technical university specializing in automotive engineering, control systems, and mechatronics — with a strong applied research focus on electric vehicles, automated driving, and advanced drivetrain technologies. They combine deep mathematical and systems-engineering expertise with hardware-in-the-loop testing and simulation environments for vehicle development. Beyond automotive, they maintain active research lines in electromagnetic medical imaging, neonatal neurophysiology monitoring, and applied mathematics (spectral theory, fluid dynamics). Their work bridges fundamental research and industrial application, particularly in e-mobility and intelligent transport systems.

Core expertise

What they specialise in

Electric vehicles and automated drivingprimary
8 projects

Core thread across EVE, ITEAM, CLOVER, DRIVEMODE, EVC1000, XILforEV, OWHEEL, and ITN-5VC — covering drivetrains, chassis control, driving comfort, and simulation environments.

Control systems and mechatronicsprimary
4 projects

CLOVER (robust control for mechatronic systems), PURE-WATER (estimation algorithms), ITEAM (multi-actuated vehicles), and XILforEV (X-in-the-loop testing) demonstrate deep competence in observer design, modulating functions, and hardware-in-the-loop methods.

Electromagnetic and biomedical imagingsecondary
4 projects

BREAKBEN (electromagnetic neuroimaging), IDentIFY (field-cycling MRI), EMERALD (EM imaging for medical devices), and INFANS (neonatal EEG/near-infrared spectroscopy) show sustained involvement in medical signal processing.

Applied mathematics and spectral theorysecondary
3 projects

SOMPATY (Schrödinger operators, metamaterials), CoPerMix (reinforcement learning for mixing processes), and ConvExt (data-driven prediction of convection extremes) combine mathematical rigor with physical applications.

Power electronics and semiconductor technologiesemerging
2 projects

Power2Power (next-gen silicon power solutions) and DRIVEMODE (SiC inverters for EV drivetrains) indicate growing work in power semiconductor applications for mobility.

Neonatal neuroscience monitoringemerging
2 projects

INFANS (neonatal EEG and near-infrared spectroscopy, coordinated by TU Ilmenau) and EMBRACE (multimodal inter-brain dynamics) represent a focused push into neurophysiological measurement systems.

Evolution & trajectory

How they've shifted over time

Early focus
EV drivetrains and medical imaging
Recent focus
Automated driving and neuro-monitoring

In the early period (2015–2018), TU Ilmenau focused on foundational vehicle engineering — distributed drivetrains, hardware-in-the-loop simulation, MRI imaging, and battery technology (sodium-ion cells). From 2019 onward, the focus shifted decisively toward automated driving, driving comfort, and electrified chassis systems, while a new line in neonatal neuroscience and inter-brain dynamics emerged. The mathematical thread also grew more prominent in the later period, with spectral theory and machine-learning-driven prediction becoming standalone project topics.

TU Ilmenau is converging toward intelligent, comfort-optimized electric vehicles with automated driving capabilities — while building a secondary niche in neurophysiological measurement systems, making them a strong future partner for projects combining sensing, control, and AI in both automotive and biomedical domains.

Collaboration profile

How they like to work

Role: consortium_leaderReach: Global40 countries collaborated

TU Ilmenau balances leadership and partnership almost equally — coordinating 10 of 22 projects, which is unusually high for a mid-sized university. Their heavy use of MSCA schemes (10 of 22 projects are MSCA-RISE or MSCA-ITN) signals a strong commitment to researcher mobility and training networks, meaning they are experienced hosts and network builders. With 195 unique partners across 40 countries, they operate as a well-connected hub rather than a closed-circle institution, making them easy to approach for new consortia.

TU Ilmenau has collaborated with 195 distinct partners across 40 countries, giving them one of the broader networks for a university of their size. Their MSCA-heavy portfolio means strong ties to both academic institutions and industry partners across Europe and beyond.

Why partner with them

What sets them apart

TU Ilmenau occupies a rare intersection of rigorous mathematical systems theory and hands-on vehicle engineering — they can design the control algorithm AND build the hardware-in-the-loop test bench. Their unusually high coordinator rate (45%) for a mid-sized German technical university shows they punch above their weight in project leadership. For consortium builders, they offer a combination that is hard to find elsewhere: deep expertise in electric vehicle dynamics, strong MSCA network management experience, and the ability to bridge automotive engineering with biomedical sensing and applied mathematics.

Notable projects

Highlights from their portfolio

  • XILforEV
    Their largest single grant (EUR 695,000) and coordinated — built a connected simulation environment for electric vehicle development that bridges multiple testing modalities.
  • INFANS
    Coordinated a EUR 505K project integrating EEG and near-infrared spectroscopy for neonatal brain monitoring — an unexpected pivot from their automotive core that shows versatile measurement and signal processing capabilities.
  • SOMPATY
    A EUR 322K coordinated project applying spectral theory to metamaterials and quantum mechanics — demonstrates TU Ilmenau's mathematical depth that underpins their more applied engineering work.
Cross-sector capabilities
Health — biomedical imaging and neonatal neurophysiology monitoringDigital — power semiconductors, SiC inverters, and 5G vehicular communicationsEnergy — battery technologies (sodium-ion), power electronics for e-mobilityEnvironment — water purification estimation algorithms, thermal convection prediction
Analysis note: Strong profile with 22 projects and clear thematic threads. Some early projects lack keyword data, but the overall trajectory is well-supported. The biomedical line is real but secondary — a partner should verify current lab capacity in that area before building a proposal around it.